STAGE Machine Learning Engineer Intern

Date de mise à jour de l’offre

JECC :

Buster.Ai is the solution for fact-checking content on the internet. Our goal is to empower you by helping you spot false information online. We want to help you stay on top of what you read. Our goal is to equip you with all the tools you need to better understand the content that you encounter on the internet. We help you trace and visualize the way fake news circulating online (and get notified about it in real-time).

Description de la mission

As a Machine Learning Intern, you will be part of a cutting-edge research team that seeks to advance the state-of-the-art in Natural Language Processing and Computer Vision, and who won first place in an NLP Challenge applied to Fact-Checking.

You will participate in developing scalable models and keeping our data pipeline up to date with the research team members. Your tasks will include:
* Researching, developing, maintaining, and improving new ML models
* Keeping up with the latest advances in Natural Language Processing, Computer Vision, and Machine Learning to push beyond state-of-the-art solutions and advance Buster.AI's products
* Working closely with the Data and Product teams to understand the data and make the best use of it
* Contributing to the continuous improvement of our research framework

Profil recherché

"Must-haves"
* Pursuing a master degree in Computer Science, Applied Mathematics or related scientific fields
* Experience developing distributed computation algorithms and architecture
* Programming experience with Python

"Nice-to-haves"
* Programming experience with Go, Java, Scala, or Rust
* Experience with putting models into production using either PyTorch or TensorFlow and Scikit-Learn
* Experience in Natural Language Processing, Computer Vision, clustering, topic modeling, recommendation systems, targeting systems, ranking systems
* Good knowledge of modern back-ends to scrape massive datasets (Kubernetes, Docker, Kafka, RabbitMQ)
* Database: SQL, NoSQL
* Good coding practices: Git, Testing, Documentation, CI/CD

Niveau de qualification requis

Bac + 4/5 et +
  • Employeur
    JECC
  • Secteur d’activité de la structure
    Emploi - Economie - Innovation - Numérique
  • Effectif de la structure
    De 11 à 20 salariés
  • Site internet de la structure
    https://buster.ai
  • Type de stage ou contrat
    Stage pour lycéens et étudiants en formation initiale
  • Date prévisionnelle de démarrage
  • Durée du stage ou contrat
    Supérieur à 6 mois
  • Le stage est-il rémunéré ?
    Oui
  • Niveau de qualification requis

    Bac + 4/5 et +
  • Lieu du stage
    47 Boulevard de Courcelles
    75008 PARIS 8E ARRONDISSEMENT
  • Accès et transports
    Metro